The World Organisation for Animal Health (WOAH) is offering a six-month Data Analyst Internship in Paris, France, paying €715 monthly. Applications close on 4 November 2026.
Background & Job Description
The World Organisation for Animal Health (WOAH) is inviting applications for a Data Analyst Internship at its headquarters in Paris, France. The six-month opportunity focuses on developing an early-warning system that identifies unusual patterns in animal diseases using official disease reports and open-source information.
The project will combine data from the World Animal Health Information System (WAHIS) and Epidemic Intelligence from Open Sources (EIOS) to help detect emerging outbreaks, monitor epidemic trends and improve preparedness.
The internship is suitable for candidates with quantitative backgrounds who want practical experience in data science, epidemiology, statistical analysis and public health surveillance. The position is full-time, and the selected candidate must begin working in person in Paris no later than 4 January 2027.
Internship Overview
| Detail | Information |
|---|---|
| Organisation | World Organisation for Animal Health (WOAH) |
| Internship | Data Analyst – Multi-Disease Anomaly Detection |
| Location | Paris, France |
| Duration | 6 months |
| Monthly salary | €715 |
| Work arrangement | Full-time, in person |
| Application deadline | 4 November 2026 |
| Latest permitted start date | 4 January 2027 |
| Academic requirement | Master’s-level study or recent master’s graduation |
| Official source | WOAH website |
Tasks and Internship Benefits
The intern will contribute to developing a data-driven early-warning system for animal diseases. The project combines reliable official reports with faster, but unverified, information from open sources to identify potential changes in disease activity.
Key responsibilities include analysing time-series data, comparing anomaly-detection algorithms and evaluating how accurately different methods identify the beginning, peak and decline of epidemic waves.
The intern will also help build reproducible analytical pipelines, automate data updates and model execution, and develop dashboards and alerts that communicate findings to WOAH staff.
Technical activities may include:
- Analysing and managing datasets from WAHIS and EIOS.
- Applying and benchmarking anomaly-detection methods.
- Using programming languages such as R and Python, alongside SQL and Git.
- Developing dashboards using tools such as Shiny, Dash or Power BI.
- Automating workflows and documenting analytical methods.
- Preparing reports and presenting results to WOAH staff.
The experience offers exposure to international animal-health surveillance and the application of data science to early warning and epidemic preparedness.
Qualifications and Eligibility
Applicants must currently be enrolled in, or have recently graduated from, a master’s degree or equivalent programme in one of the following fields:
- Data Science
- Biostatistics
- Statistics
- Applied Mathematics
- Epidemiology with a strong quantitative component
Previous professional experience is not required. However, applicants should have relevant experience gained through coursework, an academic project or a previous internship.
Essential Technical Skills
Candidates should have basic knowledge of time-series analysis, experience writing reproducible analytical code, and some experience with dashboards or interactive data visualisation.
Applicants should also understand how to evaluate detection and surveillance systems, including metrics such as sensitivity, positive predictive value and timeliness of detection. Good data management, code documentation and written communication skills are important.
Familiarity with anomaly detection, machine learning for time-series analysis, epidemiology or animal-health surveillance is an advantage.
Important: An agreement with the applicant’s academic institution is required for the internship. Candidates must also be able to commence the placement in person in Paris no later than 4 January 2027.
Additional Information
Applications close on 4 November 2026. The internship is scheduled for six months, with the start date dependent on the selected candidate’s suitability and operational and funding constraints.
Monthly salary: €715.
How to apply: Visit the official WOAH website and locate the Data Analyst Internship vacancy titled Multi-disease anomaly detection system using WAHIS official data and EIOS open-source information, DIAD – WOAH HQ. Use the Apply Here option on the vacancy page to submit your application before the deadline.
Applicants should ensure that their CV demonstrates quantitative skills, programming experience and relevant academic projects.
Frequently Asked Questions
1. What is the WOAH Data Analyst Internship?
It is a six-month internship focused on developing a multi-disease anomaly-detection system to identify potential animal-disease outbreaks using official and open-source information.
2. How much does the WOAH internship pay?
The advertised monthly salary is €715.
3. Where is the internship located?
The position is based at WOAH headquarters at 12 rue de Prony, 75017 Paris, France.
4. How long does the internship last?
The internship lasts six months and is full-time.
5. What degree is required?
Applicants must be enrolled in or recently graduated from a master’s-level programme in Data Science, Biostatistics, Statistics, Applied Mathematics or Epidemiology with a strong quantitative component.
6. Which programming skills are required?
The vacancy requests programming experience in R and/or Python, SQL, Git, reproducible reporting and dashboard development.
7. Is previous professional experience required?
No. WOAH does not require previous professional employment, but candidates should have relevant experience from coursework, academic projects or previous internships.
8. Is an academic internship agreement required?
Yes. The internship requires an agreement with the candidate’s academic institution.
9. What is the application deadline?
Applications must be submitted by 4 November 2026.
10. When must the selected candidate start?
The selected candidate must be able to start in person in Paris no later than 4 January 2027.
Opportunities Feed Assessment
The WOAH Data Analyst Internship may be suitable for master’s students and recent graduates seeking practical experience in statistical analysis, data science and animal-health surveillance. Its focus on early-warning systems, anomaly detection and reproducible analytical pipelines is particularly relevant to candidates interested in public health analytics, epidemiology and applied machine learning.
Applicants should consider the monthly salary, Paris-based work arrangement and academic agreement requirement before applying.
Disclaimer: Opportunities Feed shares career and education opportunities for informational purposes. It is not affiliated with WOAH and does not recruit on the organisation’s behalf. Applicants should verify all eligibility requirements and application instructions through the official vacancy announcement.
SEO Keywords: WOAH Data Analyst Internship, WOAH internship Paris 2026, data analyst internship France, animal health data science internship, €715 monthly internship, epidemiology internship 2026, anomaly detection internship, Python and R internship, statistical analysis internship, master’s data science internship, animal disease early warning system, international organisation internships
